Degradation Indexes Research Articles

Parametric noise reduction and construction of performance degradation indexes for low-voltage switchgear appliances

Aiming at the problem that there is a lot of noise in the feature parameter data of low-voltage switchgear, which makes it difficult to extract useful information about the feature parameters and unable to construct the performance degradation index reasonably. This paper proposes a noise reduction method through Relative Entropy (KL) optimized Variational Mode Decomposition (VMD) combined with Non-Local Mean (NLM) and a method of constructing performance degradation indexes for low-voltage switching appliances through Convolutional Autoencoder (CAE). Firstly, the voltage and current signals are collected based on the full-life test platform of low-voltage switchgear, and the subset of feature parameters is extracted. Then, the feature parameters are decomposed into different components by relative entropy optimization VMD and the noise-dominant and effective components are selected based on the correlation. Secondly, NLM denoising is performed on the noise-dominated signal, and the noise-reduced signals are obtained by signal reconstruction. Finally, the construction of performance degradation indexes for multi-type switchgear is completed based on CAE. The final results show that the two noise reduction evaluation indicators including Noise Rejection Ratio (NRR) and trendiness (T), and the three performance degradation evaluation indexes including Goodness of Fit (R), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) all show optimal results, indicating that this paper’s method can better complete the construction of noise reduction and performance degradation indicators for the feature parameters of low-voltage switchgear.

A study on the performance, structure, composition, and release behavior changes of polybutylene adipate terephthalic acid (PBAT) film during food contact

Polybutylene adipate terephthalic acid (PBAT) is an emerging biodegradable material in food packaging. However, concerns have been raised regarding the potential hazards it could pose to food safety. In this study, the changes of PBAT films during food contact and the release of small molecules were inestigated by a multiscale approach. On a macro-scale, the surface roughness of the films increased with the reduction in the concentration of food simulants and the increase in contact temperatures, especially after immersion in acidic food environments. On a micro-scale, the crystallinity (Xc) and degradation indexes (DI) of the films increased by 5.7–61.2% and 7.8–48.6%, respectively, which led to a decrease in thermal stability. On a scale approaching the molecular level, 2,4-di-tert-butylphenol (2,4-DTBP) was detected by gas chromatography-mass spectrometry (GC-MS/MS) with the highest migration content, and the release behavior of 2,4-DTBP was further investigated by migration kinetics. In addition, terephthalic acid (TPA), a hydrolysis product of PBAT, was detected in acidic food environments by liquid chromatography-mass spectrometry (LC-MS/MS). The results of this study could provide practical guidance and assistance to promote sustainable development in the field of food packaging.

Performance Analysis of Methods at Estimating Insulated Cables Degradation

The quality of electricity supply, among other issues, deals with continuity indicators as one of the most important factors for the characterization of an adequate service as far as power quality is concerned. In this context, one of the major problems responsible for the unscheduled interruptions is related to the degradation of electrical cables insulation and the well-known water tree effect emerges as an important cause for the deterioration of their insulation layer. If this phenomenon happens, a large loss of insulating properties of dielectric material used to build up such component will occur. In light of these facts, the development of procedures to evaluate, predict, and indicate the operational status of operating cables shows itself highly attractive in order to improve the quality and reliability of energy supply. Focusing on this subject, this paper presents a synthesis of existing methods and a new trend towards the mentioned matter. By using experimental measurements, carried out in medium voltage commercial operating cables in a distribution utility throughout non-invasive approach, applied voltage and insulating leakage currents are obtained to support the analysis. The data are used to obtain degradation indexes to estimate the cables physical operational conditions and the indicators found are further considered in the view of the effectiveness of the strategies for the diagnosis purposes

A phenomenological model of pulsatile blood pressure-affected degradation of polylactic acid (PLA) vascular stent.

The stent implantation may alter the post-operative patient's blood pressure, and bioresorbable vascular stents (BVS) as a candidate to treat vascular diseases, its degradation is affected by mechanical stress, thus, the altered pressure representing varying stress level will result in different degradation behaviors of the BVS. This paper first proposed a novel stress-regulated PLA degradation model that included swelling factor, and then the degradation evolutions of a PLA BVS within 180days under normal and high blood pressures were simulated by finite element method, and more four degradation indexes were defined to study the effects of the two blood pressures on the degradation of the PLA BVS. The results showed that the high pressure weakly accelerated the degradation of the PLA BVS with respect to the normal pressure by examining the four indexes, e.g., the residual stent volume decreased to 0.72 and 0.69, respectively for the normal and high pressures at day 180. The current finding provided a theoretical understanding of the PLA BVS degradation, and hinted that the PLA BVS may not need to be elaborately selected in clinical practices for treating hypertensive patients.

Analysis of the Influence of Component Degradation on Different Degradation Indexes of PEMFC

To study the effect of component degradation on different degradation indexes of the proton exchange membrane fuel cell (PEMFC), a novel model of the PEMFC based on component properties was established. Firstly, the four main components, namely the proton exchange membrane (PEM), catalyst layer (CL), gas diffusion layer (GDL), and bipolar plate (BP), were selected. Moreover, a model of each component reflecting their properties was established and verified. Secondly, calculations of the component properties at the initial state and 5% changed were conducted. The results showed that the effects of the different components’ degradation on the different performance and distribution indexes were different. Considering the nine indexes comprehensively, the influence of component degradation on performance degradation was as follows: GDL > PEM = CL > BP.

Influence of crosslinking effect on chemical and rheological properties of aged liquid bio-rubber composite SBS modified asphalt

The influence of the cross-linking effect between a liquid bio-rubber (LBR), a desulphurised crumb rubber formed via pyrolysis in bio-oil, SBS, a cross-linker, and asphalt on the chemical and rheological properties of aged LBR/SBS composite modified asphalt (LBR/SBSMA) was studied. Four types of modified asphalts were prepared by adding LBR, LBR+sulphur, LBR+SBS and LBR+SBS+sulphur to simulate cross-linking. FTIR and GPC were used to obtain oxidation, aromatisation and polymer degradation indexes and molecular weight. DSR and BBR were used to acquire rheological indexes. Sulphur was the key factor in achieving cross-linking, which promoted phase morphology stability, enhanced oxidation and aromatisation resistance and restrained polymer degradation. LBR could prevent the variation of |G*| and the change of δ in high frequency after ageing. The low-temperature performance of aged LBR asphalt was satisfactory. The cross-linking effect retained superior ageing resistance despite a slight impairment of low-temperature continuous grading temperature, producing a sustainable and high-performance modified asphalt.

Early performance degradation of ceramic bearings by a twin-driven model

Early subsurface cracks make significant changes to the dynamic responses of full ceramic ball bearings, and complex space environment brings challenges to the status monitoring of related devices. This paper proposed a model to predict the early degradation performance under complex working conditions driven by digital twin. LSTM recursive neural network was used to establish the mapping relationship between the stiffness weakening factor which represents the degree of damage and stable degradation evaluation index by multi-feature fusion extracted from vibration signals. Digital twin technology was used to combine the mechanism of physical degradation process with real-time working condition data and historical data to predict the early performance degradation trend of ceramic bearings. The results show that the degradation indexes obtained from the fusion of KF, RMS, and MMFD are more effective in reflecting the early degradation stage of ceramic bearings. The twin-driven early performance degradation evaluation model for ceramic bearings can replace the real degradation trend to a certain extent, which promotes the performance degradation evaluation models of key components using ceramic materials.

Prediction of Contact Fatigue Performance Degradation Trends Based on Multi-Domain Features and Temporal Convolutional Networks.

Contact fatigue is one of the most common failure forms of typical basic components such as bearings and gears. Accurate prediction of contact fatigue performance degradation trends in components is conducive to the scientific formulation of maintenance strategies and health management of equipment, which is of great significance for industrial production. In this paper, to realize the performance degradation trend prediction accurately, a prediction method based on multi-domain features and temporal convolutional networks (TCNs) was proposed. Firstly, a multi-domain and high-dimensional feature set of vibration signals was constructed, and performance degradation indexes with good sensitivity and strong trends were initially screened using comprehensive evaluation indexes. Secondly, the kernel principal component analysis (KPCA) method was used to eliminate redundant information among multi-domain features and construct health indexes (HIs) based on a convolutional autoencoder (CAE) network. Then, the performance degradation trend prediction model based on TCN was constructed, and the degradation trend prediction for the monitored object was realized using direct multi-step prediction. On this basis, the effectiveness of the proposed method was verified using a bearing common-use data set, and it was successfully applied to performance degradation trend prediction for rolling contact fatigue specimens. The results show that using KPCA can reduce the feature set from 14 dimensions to 4 dimensions and retain 98.33% of the information in the original preferred feature set. The method of constructing the HI based on CAE is effective, and change processes versus time of the constructed HI can truly reflect the degradation process of rolling contact fatigue specimen performance; this method has obvious advantages over the two commonly used methods for constructing HIs including auto-encoding (AE) networks and gaussian mixture models (GMMs). The model based on TCN can accurately predict the performance degradation of rolling contact fatigue specimens. Compared with prediction models based on long short-term memory (LSTM) networks and gating recurrent units (GRUs), the model based on TCN has better performance and higher prediction accuracy. The RMS error and average absolute error for a prediction step of 3 are 0.0146 and 0.0105, respectively. Overall, the proposed method has universal significance and can be applied to predict the performance degradation trend of other mechanical equipment/parts.

Seismic Performance of Desert-sand Autoclaved Aerated Concrete Block Wall Constrained by Precast Integral Construction Column

Considering the structural types and construction techniques used in common residential buildings in Xinjiang, the paper proposes a novel masonry structure, i.e., desert-sand AAC blocks constrained by a precast integral construction column. In order to study the seismic performance of the structure, five wall specimens with different constraints are designed and fabricated and further compared and analyzed in terms of failure mode, hysteretic performance, energy dissipation capacity, ductility, stiffness degradation, and other performance indexes. It has been determined from the results that under horizontal low-cycle repeated loading, the main failure cracks of the desert-sand AAC block wall constrained by the precast integral construction column are intersecting oblique cracks, and the cracks in wall failure penetrate along concrete blocks. The stiffness degradation rate of the wall constrained by the water-resistant gypsum construction column gradually decreases with increasing vertical compressive stress. The wall constrained by the water-resistant gypsum construction column with arranged steel bars has a desirable ductility. Under the same vertical compressive stress, the wall constrained by the water-resistant gypsum precast construction column with arranged steel bars has a significant energy dissipation capacity from cracking to the ultimate state. (4) A restoring force model is built for desert-sand AAC block walls constrained by the precast integral construction column using a three-fold line model, offering technical support for the elastoplastic seismic analysis of structures.

Multi-Approach Characterization of Novel Pyrene-Degrading Mycolicibacterium austroafricanum Isolates Lacking nid Genes.

Polycyclic aromatic hydrocarbons (PAHs) are chemical compounds that are widespread in the environment, arising from the incomplete combustion of organic material, as well as from human activities involving petrol exploitation, petrochemical industrial waste, gas stations, and environmental disasters. PAHs of high molecular weight, such as pyrene, have carcinogenic and mutagenic effects and are considered pollutants. The microbial degradation of PAHs occurs through the action of multiple dioxygenase genes (nid), which are localized in genomic island denominate region A, and cytochrome P450 monooxygenases genes (cyp) dispersed in the bacterial genome. This study evaluated pyrene degradation by five isolates of Mycolicibacterium austroafricanum using 2,6-dichlorophenol indophenol (DCPIP assay), gas chromatography/mass spectrometry (CG/MS), and genomic analyses. Two isolates (MYC038 and MYC040) exhibited pyrene degradation indexes of 96% and 88%, respectively, over a seven-day incubation period. Interestingly, the genomic analyses showed that the isolates do not have nid genes, which are involved in PAH biodegradation, despite their ability to degrade pyrene, suggesting that degradation may occur due to the presence of cyp150 genes, or even genes that have not yet been described. To the best of our knowledge, this is the first report of isolates without nid genes demonstrating the ability to degrade pyrene.

Occurrence Form of Potassium Vapor in Sinter and Its Effect on Reduction Degradation Indexes

In this study, potassium vapor was prepared by using potassium carbonate (K2CO3) and activated carbon (C) reagents to simulate the actual situation of adsorbing potassium vapor from the sinter in the blast furnace. The potassium-rich sinter was characterized by X-ray diffraction (XRD), flame atomic absorption spectrometry (FAAS), and scanning electron microscopy (SEM-EDS). The effects of potassium vapor content on the enrichment ratio, adsorption rate, and low-temperature reduction degradation index (RDI+3.15mm) of sinter have been studied. The results show that with the increase of potassium vapor content, the enrichment ratio of potassium in the sinter increases, and the adsorption rate of potassium in the sinter increases first and then decreases, which was opposite to the trend of the low-temperature reductive degradation index of the sinter. When the potassium vapor content was increased by 50 times, the enrichment ratio and low-temperature reduction powder of the sinter are the highest, which were 2576% and 85.3%, respectively, and the adsorption rate of the sinter was the lowest, which is 51.5%. Meanwhile, potassium vapor changes from physical adsorption K2CO3 to chemical adsorption KFeO2 as the potassium vapor content increases. In addition, the transformation of the occurrence form of potassium vapor in the sinter during the rising process has also been clarified.

Optimized Recovery of DNA and Subsequent Short Tandem Repeat Profiling of Different Tissues Sampled from Embalmed Human Cadavers

Abstract Introduction: Storage of specimens sampled from human remains for pathological testing, embalming for burial purposes, and for human identification often requires formalin fixation and/or paraffin embedding. Current knowledge in molecular biology techniques and forensic DNA analysis makes it possible to optimize the extraction of amplifiable DNA from formalin-fixed tissues by improving the pre-treatment, optimizing the digestion condition of proteinase K, simplifying the extraction protocol and purifying the extracted DNA with optimized volumes of alcohol. Aim: This research sought to extract amplifiable DNA from thirteen brain, bone marrow and cartilage samples from four formalin embalmed human cadavers. Materials and Methods: Brain, cartilage and bone marrow samples were taken from four different cadavers at autopsy at the Ghana Police Hospital mortuary in Accra, Ghana sixty-two days after embalming. An optimized preparation and DNA extraction protocol was carried out on all the samples. Brain samples were also taken from a non-formalin treated fifth cadaver of known STR profile, and standard DNA extraction performed to serve as positive control. Results: Our optimized protocol yielded detectable quantities of DNA from the samples when quantified with the 7500 Real-Time PCR equipment. The extracted DNA also yielded full STR profiles with varying peak heights for forensic identification purposes. The measured degradation indexes of the DNA samples were greater than 1.0, with peak heights of generated STR profiles above the limits of detection of the 3500 genetic analyzer. Conclusion: Our current study demonstrated an optimized method of DNA extraction from tissues (brain, cartilage and bone marrow) sampled from formalin embalmed human cadavers. The optimized protocol reduced the concentration of formalin fixation residues in extracted DNA from formalin-fixed tissues, thereby improving the amplification efficiency for STR profiling. Brain, bone marrow and cartilages can be a good source of DNA from embalmed and degraded human remains, though for skeletonized human remains together with teeth and long bones.

Health Condition Assessment for Pumped Storage Units Using Multihead Self-Attentive Mechanism and Improved Radar Chart

A novel health assessment method for pumped storage units (PSUs) is presented in this article. First, multihead self-attentive mechanism (MSM) combined with quantile regression neural network (QRNN) are proposed to establish a health benchmark model for PSUs to reveal the intricate relationship between the vibration and its multiple influencing factors. Especially, MSM automatically learns the complex interaction features among multiple influencing factors, while QRNN explores the upper bounds of health vibration under specific operational parameters. Then, a fuzzy dimensionless function is constructed to map the deviation of the currently measured vibration from the predicted health vibration to the performance degradation indexes. Finally, an improved radar chart method is proposed to visually illustrate the health condition of multiple measurement locations and give comprehensive health assessment for PSUs. The proposed method is applied in a PSU in Zhejiang province of China. The results of comparative experiments illustrate its effectiveness and feasibility.

Evaluation of the MHSeqTyper47 kit for forensically challenging DNA samples

Microhaplotypes have been highly regarded for forensic mixture DNA deconvolution because they do not experience interference from stutters in the same way as short tandem repeat markers, and they tend to be more polymorphic than single nucleotide polymorphism markers. However, forensic microhaplotype kits have not been reported. The MHSeqTyper47 kit genotypes 47 microhaplotype loci. In this study, MiSeq FGx sequencing metrics for MHSeqTyper47 were presented, and the genotyping accuracy of this kit was examined. The sensitivity of MHSeqTyper47 reached 62.5 pg, and full genotyping results were obtained from degraded DNA samples with degradation indexes ≤ 3.00. Full genotypes were obtained in the presence of 100 ng/μL tannin, 50 μM heme, 25 ng/μL humic acid, and 1.25 μg/μL indigo dye. In DNA mixture studies, a minimum of 31 loci of the minor contributor were correctly genotyped at 1:99 or 99:1 mixing ratios, with the cumulative random matching probability of these loci reaching 4.54 × 10−25. Mixing ratios could be reliably predicted from two-donor DNA mixtures based on the loci with four called alleles. Taken together, these data showed that the MHSeqTyper47 kit was effective for forensically challenging DNA analysis.

Estimating bloodstain formation time by quantitative analysis of mtDNA degradation

The estimation of bloodstain formation time is still an unsolved problem in forensic science and lacks accurate quantitative methods. Whether DNA can be adopted to estimate bloodstain formation time is still controversial, and there is no study to confirm the potential of mtDNA markers. To address these issues, a triple quantification method based on the ratio of mtDNA fragments of different lengths of COⅠ (mitochondrially encoded cytochrome c oxidase Ⅰ) for estimating bloodstain formation time was established. A total of 152 samples (140 old samples, 12 fresh samples) were collected and tested, and the absolute copies of different-sized fragments of COⅠ (304 bp, 120 bp, 41 bp) in all samples were quantified by SYBR Green real-time qPCR. The natural logarithms of two copy number ratios (304 bp/41 bp, 120 bp/41 bp) of COⅠ in old samples were calculated, which were used as degradation indexes to evaluate the degradation degree of mtDNA. The 140 old human blood samples from 1 to 14 years of storage were accumulated from casework of forensic practice to establish the method of estimating bloodstain formation time and used to analyze the impact of gender factors on the two degradation indexes, and 10 animal samples and 2 fresh human samples were collected to verify the human specificity of the method. There was a high correlation between degradation indexes and bloodstain formation time (the absolute values of correlation coefficients of these two degradation indexes were 0.901 and 0.758 respectively). A method with triple quantification and dual indexes estimating bloodstain formation timewas successfully established, which was highly human-specific. There was no statistically significant difference in degradation indexes between different gender samples (P > 0.05). This study confirmed that mtDNA can be utilized to estimate bloodstain formation time, which provides a new solution to the forensic problem of estimating the time of bloodstain formation.

Assessing the utility of quantitative and qualitative metrics in the DNA quantification process of skeletal remains for autosomal and Y-chromosome STR amplification purposes

In historical cases, ancient DNA investigations and missing persons identification, teeth or bone samples are often the only and almost always the best biological material available for DNA typing. On the other hand, DNA obtained from bone material may be characterized by a high degradation index (DI) or its low content, or DNA tests cannot be repeated due to bone piece size limitation. That is often the effect of the environment in which the material was placed and the time during which exposure to unfavorable environmental factors took place. Therefore, it is very important to use appropriate procedures related to STR analysis. For our study, we selected 80 challenging bone samples. The amount of DNA was compared in qPCR using Quantifiler™ Trio DNA Quantification Kit and Investigator® Quantiplex® Pro RGQ. All qPCR results were confirmed by PCR-CE. The results of DNA concentrations and the assigned degradation index (DI) differed significantly within analyzed samples (~10%). Additionally, the Y-chromosome DI also differed from the autosomal DI in the samples. The difference in degradation indexes could explain the lower Y-chromosome amplification success rate compared to autosomal e.g. during human identification process. The results indicate that performing two DNA quantifications with the use of two different kits (primers sets) allows for a much more precise evaluation of the DNA quality and quantity in the isolate. We suggest that at least one of two suggested DNA concentration measurements should be based on an additional determination of the Y chromosome degradation index. Altogether, it allows for rational isolate management, especially when the volume is limited and the sample is unique.

A fusion prognostics strategy for fuel cells operating under dynamic conditions

Transportation-oriented proton exchange membrane fuel cells (PEMFC) are attracting much attention, but the strong dynamic operating conditions in transportation applications limit the durability improvement and wide commercialization of fuel cells (FC). Prognostics dedicated to predicting the FC remaining useful life (RUL) can facilitate the early provision of control/maintenance programs to improve durability and reduce costs. However, credible degradation indexes for prognostics are difficult to access or observe directly from the FC operating under dynamic conditions. Moreover, the long-term prediction performance of the state-of-the-art prognostics models is often not satisfactory. This paper proposes a fusion prognostics strategy to address these challenges. Specifically, the system dynamics is identified by using an electrochemical mechanism model and the degradation indexes are extracted based on the identified model parameters. Subsequently, a reduced-dimensional symbolic representation based long short-term memory network is developed for predicting the evolution of degradation. The proposed approach is validated using the long-term accelerated stress test data of a vehicle-oriented PEMFC. The results show that the degradation mechanism model can be used to identify degradation indexes in dynamic operating conditions. Based on the prognostics model, accurate RUL prediction can further be achieved over the extracted degradation indexes.

Organic geochemical characteristics of sediments in the natural gas hydrate geo-system in Shenhu area, South China Sea

The Shenhu area of the South China Sea is one of the leading areas for natural gas hydrate investigation and exploitation in China. In this study, total organic carbon (TOC) content, total nitrogen (TN) content, and gas chromatographic-mass spectrometric (GC–MS) analysis of the soluble organic matter of sediments from sites W01B, W02B, and W03B were completed to understand the characteristics of organic matter in the sedimentary system with gas hydrates and provide theoretical support for further exploration in this area. Source indicators such as δ13Corg, TAR, and C21-/C21+ revealed that sites W01B and W02B have similar provenance characteristics in vertical profiles, with an increase of terrestrial source in the hydrate occurrence layers, while site W03B shows a gradual increase in marine source contribution as depth decreases. The asymmetric erosion and lateral deposition of the channel-levee depositional system are considered the controlling factors for the discrepancies in provenance indexes among the three sites. Analysis of the different source indicators revealed that the different kinds of soluble organic matter were subjected to varying degrees of biodegradation, and the distribution characteristics of n-alkanes were preferentially altered. Furthermore, it is found that biodegradations at sites W01B and W02B were more pronounced, particularly in hydrate occurrence layers. All of the microbial degradation indexes increase simultaneously and are consistent with the vertical distribution of hydrates, showing a similar triangular distribution trend. The increase in squalane, a characteristic compound representing methanogens, indicates that microbial degradation and methanogenesis are synchronized in the hydrate occurrence horizon, providing sufficient microbial gases for gas hydrates formation.

Modelling the Photodegradation of Marine Microplastics by Means of Infrared Spectrometry and Chemometric Techniques

This work investigated the structural and chemical changes of plastics undergoing accelerated ageing upon irradiation that simulated the ultraviolet component of solar radiation for a five-year period. The plastics selected were polyethylene (PE) and polypropylene (PP) microplastic debris sampled from a sandy beach as well as pure pellets and fragments of objects made of the same polymers. We recorded Fourier Transform Infrared (FTIR) spectra at prescribed intervals during the irradiation procedure. The spectra were used to study the evolution of the absorption peaks usually associated with the environmental ageing of polyolefins, namely the peaks of hydroxyl and carbonyl stretching, the peaks relating to the presence of double bonds, and those associated with the crystallinity of PE and the tacticity of PP. The results showed that none of the usual degradation indexes followed a clear trend with increasing exposure and that the evolution of absorption peaks was not consistent among different fragments. We used the Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) method to process the whole information contained in the FTIR spectra in response to the chemical changes occurring during photochemical ageing. The results showed that the FTIR spectra contained sufficient information to cluster samples according to the irradiation received. Variable Importance of the Projection (VIP) analyses showed that the information for discriminating among different exposures was mainly contained in the absorption peaks corresponding to the hydroxyl and carbonyl stretching absorptions. The chemometric models had large determination coefficients, despite the large number of variables involved and could be applied to assess the environmental fate of plastics under environmental stressors.

Pulsed electrochemical oxidation of acid Red G and crystal violet by PbO2 anode

Present work investigates the application of pulsed electrochemical oxidation technique using DSA anode, titanium coated with PbO2layer, for degradation of Acid Red G (anionic dye) and Crystal Violet (cationic dye). Decolorization efficiency, COD and TOC removal efficiency were measured and contrasted by varying process parameters such as current density, initial organic concentration, pulse frequency, pulse duty cycle and NaCl dosage. Furthermore, decay kinetics for color and COD removal process, average current efficiency and energy consumption were evaluated under diverse arguments. The results indicated that current density, pulse duty cycle and NaCl dosage exerted a positive influence on the performance of pulse electrochemical degradation for ARG and CV, namely, with the growth of relevant influencing factors, the corresponding removal efficiency, kinetic constant of decolorization and COD removal reaction, and specific energy consumption increased accordingly, whereas the average current efficiency gradually decreased. However, the initial concentration of ARG and CV had a negative influence on the pulse electrochemical degradation process, that is, with the increase of initial dye concentration could lead to the reduction of the corresponding removal efficiency, kinetic constant of decolorization and COD removal reaction and energy consumption, on the contrary, the average current efficiency went up. Being different from ARG degradation process, there were some substances adhering to the cathode during CV electrochemical degradation process due to its positive charge. Under same conditions, the degradation indexes of pulse constant current power supply mode were better than those of direct constant current mode, which was coincident for both ARG and CV.